Bibliographic record
Abstract
Locates the immediate origins of the Anglo-American 'special relationship' in the diplomacy of Roosevelt's administration Provides the most detailed coverage of Anglo-American relations from 1937–1939 Focuses on the role of Franklin Roosevelt as the central figure in Anglo-American relations at this time Shows how Roosevelt's key speeches plot the development of his attitude towards the US's relationship with Britain Considers the importance of economic diplomacy in Anglo-American relations Looks at the role played by Canada in the making of the 'special relationship' In February 1938, Senator William Borah, an inveterate isolationist, accused the Roosevelt Administration of forming a ‘tacit alliance’ with Britain. Taking Borah’s remark as its starting point, Tony McCulloch analyses Anglo-American relations from the start of Franklin D. Roosevelt’s second term in January 1937 through to the outbreak of war in Europe and the revision of the US Neutrality Act in November 1939. Despite the mutual doubts afflicting the governments – and public opinion – on both sides of the Atlantic during these years, McCulloch argues that thanks largely to Franklin Roosevelt there was considerable progress in establishing an ideological and strategic understanding between the two democracies. This laid the foundation for the ‘special relationship’ so desired by Winston Churchill during and after the Second World War.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.051 | 0.013 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".